语言大模型 / LLM

Research on Multi-hop Inference Optimization of LLM Based on MQUAKE Framework

Zucheng Liang, Wenxin Wei, Kaijie Zhang, Hongyi Chen

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling

Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Hui-Ling Zhen, Zhiyuan Yang, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Chen Ma

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments 18 pages

LLM Enabled Multi-Agent System for 6G Networks: Framework and Method of Dual-Loop Edge-Terminal Collaboration

Zheyan Qu, Wenbo Wang, Zitong Yu, Boquan Sun, Yang Li, Xing Zhang

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Comments This paper has been accepted by IEEE Communications Magazine

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration

Jusheng Zhang, Yijia Fan, Kaitong Cai, Xiaofei Sun, Keze Wang

机构 * Sun Yat-sen University（中山大学） ； Alibaba Group（阿里巴巴集团） 纠错

专题命中 效率与部署 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Comments Accepted at EMNLP 2025 (Long Paper)

Exploring Autoregressive Vision Foundation Models for Image Compression

Huu-Tai Phung, Yu-Hsiang Lin, Yen-Kuan Ho, Wen-Hsiao Peng

专题命中 效率与部署 ：foundation model(title,abstract)

Efficient Video-to-Audio Generation via Multiple Foundation Models Mapper

Gehui Chen, Guan'an Wang, Xiaowen Huang, Jitao Sang

机构 * School of Computer Science ； Technology, Beijing Jiaotong University Beijing China ； Beijing Key Laboratory of Traffic Data Mining ； Key Laboratory of Big Data \& Artificial Intelligence in Transportation, Ministry of Education Beijing China ； Technology, Beijing Jiaotong University ； Key Laboratory of Big Data \& Artificial Intelligence in Transportation, Ministry of Education 纠错

专题命中 效率与部署 ：foundation model(title,abstract)

AI-in-the-loop: The future of biomedical visual analytics applications in the era of AI

Katja Bühler, Thomas Höllt, Thomas Schulz, Pere-Pau Vázquez

机构 * Vienna Research Center for Visual Computing（维也纳视觉计算研究中心） ； VRVis GmbH（VRVis公司） ； Delft University of Technology（代尔夫特理工大学） ； University of Bonn（波恩大学） ； Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔机器学习与人工智能研究所） ； Universitat Politècnica de Catalunya（巴塞罗那理工大学） 纠错

专题命中 效率与部署 ：large language model(abstract)；language model(abstract)；foundation model(abstract)；分类 cs.AI

Comments Accepted for publication in IEEE Computer Graphics & Applications

Journal ref K. Bühler, T. Hollt, T. Schultz and P. Vazquez, "AI-in-The-Loop: The Future of Biomedical Visual Analytics Applications in the Era of AI" in IEEE Computer Graphics and Applications, vol. 45, no. 02, pp. 90-99, March-April 2025

Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets

Chenlin Liu, Minghui Fang, Patrick Zhang, Wei Zhou, Jie Gao, Jiqing Han

机构 * Harbin Institute of Technology, China（哈尔滨工业大学） ； Zhejiang University, China（浙江大学） ； Tsinghua University, Shenzhen, China（清华大学深圳研究院） 纠错

专题命中 效率与部署 ：language model(abstract)；post-training(abstract)；分类 cs.AI

Comments Accepted to EMNLP 2025 Main Conference (Oral)

STADE: Standard Deviation as a Pruning Metric

Diego Coello de Portugal Mecke, Haya Alyoussef, Maximilian Stubbemann, Ilia Koloiarov, Tom Hanika, Lars Schmidt-Thieme

专题命中 效率与部署 ：large language model(abstract)；language model(abstract)；分类 cs.LG

RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair

André Silva, Sen Fang, Martin Monperrus

机构 * KTH Royal Institute of Technology（皇家理工学院） ； NC State University（北卡罗来纳州立大学） 纠错

专题命中 效率与部署 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Comments Accepted to IEEE TSE

Journal ref IEEE Transactions on Software Engineering, 2025

SePA: A Search-enhanced Predictive Agent for Personalized Health Coaching

Melik Ozolcer, Sang Won Bae

专题命中 效率与部署 ：LLM(abstract)；分类 cs.AI、cs.LG

Comments Accepted at IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'25). 7 pages, 5 figures, 3 tables

ELIXIR: Efficient and LIghtweight model for eXplaIning Recommendations

Ben Kabongo, Vincent Guigue, Pirmin Lemberger

机构 * Sorbonne University, CNRS, ISIR（索邦大学、国家科学研究中心、信息科学研究所） 纠错

专题命中 效率与部署 ：language model(abstract)；分类 cs.CL、cs.LG

Comments 10 pages, 3 figures, 6 Tables

Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents

Xuan Wang, Siyuan Liang, Zhe Liu, Yi Yu, Aishan Liu, Yuliang Lu, Xitong Gao, Ee-Chien Chang

专题命中 效率与部署 ：language model(abstract)；分类 cs.AI

Comments 10 pages

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Moritz Reuss, Hongyi Zhou, Marcel Rühle, Ömer Erdinç Yağmurlu, Fabian Otto, Rudolf Lioutikov

机构 * Intuitive Robots Lab（直观机器人实验室） ； Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） ； Microsoft Research（微软研究院） 纠错

专题命中 效率与部署 ：LLM(abstract)

Comments Published at CoRL 2025

Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation

Zaifu Zhan, Shuang Zhou, Min Zeng, Kai Yu, Meijia Song, Xiaoyi Chen, Jun Wang, Yu Hou, Rui Zhang

机构 * Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA（电气与计算机工程系，明尼苏达大学，明尼阿波利斯，MN，美国） ； Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, USA（计算健康科学 division，外科系，明尼苏达大学，明尼阿波利斯，MN，美国） ； School of Nursing, University of Minnesota, Minneapolis, MN, USA（护理学院，明尼苏达大学，明尼阿波利斯，MN，美国） 纠错

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments 11 pages, 7 figures

The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management

Somtochukwu Azie, Yiping Meng

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI

Comments 16 Pages

Integrating Large Language Models in Software Engineering Education: A Pilot Study through GitHub Repositories Mining

Maryam Khan, Muhammad Azeem Akbar, Jussi Kasurinen

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs

Samira Khorshidi, Azadeh Nikfarjam, Suprita Shankar, Yisi Sang, Yash Govind, Hyun Jang, Ali Kasgari, Alexis McClimans, Mohamed Soliman, Vishnu Konda, Ahmed Fakhry, Xiaoguang Qi

机构 * Apple Inc（苹果公司） 纠错

专题命中 领域大模型 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory

Mukul Singh, Arjun Radhakrishna, Sumit Gulwani

机构 * Microsoft Redmond（微软红mond） 纠错

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.AI

Comments 9 pages

FloodVision: Urban Flood Depth Estimation Using Foundation Vision-Language Models and Domain Knowledge Graph

Zhangding Liu, Neda Mohammadi, John E. Taylor

专题命中 领域大模型 ：language model(title,abstract)；分类 cs.AI

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms

Yushang Zhao, Yike Peng, Li Zhang, Qianyi Sun, Zhihui Zhang, Yingying Zhuang

专题命中 领域大模型 ：foundation model(title,abstract)；分类 cs.LG

Code Review Without Borders: Evaluating Synthetic vs. Real Data for Review Recommendation

Yogev Cohen, Dudi Ohayon, Romy Somkin, Yehudit Aperstein, Alexander Apartsin

专题命中 领域大模型 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.LG

Comments 4 pages, 1 figure

VLSM-Ensemble: Ensembling CLIP-based Vision-Language Models for Enhanced Medical Image Segmentation

Julia Dietlmeier, Oluwabukola Grace Adegboro, Vayangi Ganepola, Claudia Mazo, Noel E. O'Connor

机构 * Insight Research Ireland Centre for Data Analytics, DCU, Dublin, Ireland（爱尔兰洞察研究爱尔兰数据分析中心，都柏林大学，都柏林） ； Research Ireland Centre for Research Training in Machine Learning, DCU, Dublin, Ireland（爱尔兰研究爱尔兰机器学习研究培训中心，都柏林大学，都柏林） ； School of Computing, Dublin City University, Dublin, Ireland（计算学院，都柏林城市大学，都柏林） 纠错

专题命中 领域大模型 ：language model(title,abstract)

Comments Medical Imaging with Deep Learning (MIDL 2025) short paper

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts

Julius Neumann, Robert Lange, Yuni Susanti, Michael Färber

机构 * ScaDS.AI, TU Dresden, Germany（ScaDS.AI，图腾德斯大学，德国） ； FIZ Karlsruhe, Germany（卡尔斯鲁厄研究所，德国） 纠错

专题命中 领域大模型 ：language model(title)；分类 cs.CL、cs.LG

Comments Accepted at LDD@ECAI 2025

Decoders Laugh as Loud as Encoders

Eli Borodach, Raj Dandekar, Rajat Dandekar, Sreedath Panat

机构 * Vizuara AI Labs（Vizuara人工智能实验室） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Using LLMs for Multilingual Clinical Entity Linking to ICD-10

Sylvia Vassileva, Ivan Koychev, Svetla Boytcheva

机构 * Faculty of Mathematics and Informatics, Sofia University St. Kliment Ohridski（数学与信息学系，索菲亚大学圣克莱门特·奥赫里迪斯基） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments 7 pages, 2 Figures, to be published in Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, RANLP 2025

The dynamic interplay between in-context and in-weight learning in humans and neural networks

Jacob Russin, Ellie Pavlick, Michael J. Frank

机构 * Department of Computer Science（计算机科学系） ； Department of Cognitive and Psychological Sciences（认知与心理学系） ； Brown University（布朗大学） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Comments 15 pages (excluding appendix and references), 10 pages of appendix, 14 figures, 7 tables. Previous version accepted as a talk + full paper at CogSci 2024

Journal ref Published in Proceedings of the National Academy of Sciences, U.S.A., 122 (35) e251027012 (2025)

Shared Autonomy through LLMs and Reinforcement Learning for Applications to Ship Hull Inspections

Cristiano Caissutti, Estelle Gerbier, Ehsan Khorrambakht, Paolo Marinelli, Andrea Munafo', Andrea Caiti

机构 * Dept. of Information Engineering University of Pisa, Italy Pisa, Italy（信息工程系 乌迪内大学 乌迪内，意大利） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling

Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian

机构 * Microsoft Research（微软研究院） ； The University of Manchester, UK（英国曼彻斯特大学） ； Nanjing University, China（南京大学） ； Imperial College London, Imperial Global Singapore, Singapore（伦敦帝国学院，新加坡帝国全球分校，新加坡） ； The University of Tokyo, Japan（日本东京大学） 纠错

专题命中 领域大模型 ：LLM(abstract)；分类 cs.CL、cs.LG

Comments ICML 2025 Main Conference

In-Context Policy Adaptation via Cross-Domain Skill Diffusion

Minjong Yoo, Woo Kyung Kim, Honguk Woo

专题命中 领域大模型 ：prompting(abstract)；分类 cs.AI、cs.LG

Comments 9 pages

Journal ref Proceedings of the AAAI Conference on Artificial Intelligence, 2025